In the coming weeks, I am planning to release some clusters I've put together for use, and I thought I'd start with two that correspond to common operations I perform on data trees.
The first, Match Path, takes a flat list of data with N items, and another list of data with N items with some kind of arbitrary tree structure. The output is the first flat list, reconfigured to match the path structure of the input list. I was inspired to create this one by a post on the Grasshopper board by Arie-Willem de Jongh (here
The second, Partial Flatten, takes a set of data with a tree structure and flattens the N lowermost levels of hierarchy. This has been requested a number of times as a built-in feature on the GH board - (see this
thread for one example) but until it's implemented this cluster will have to do.
Both tasks can be accomplished on an individual basis with the path mapper, but the problem with the path mapper in general is that changes to the data structure upstream require editing all downstream path mappers to get everything to work. The two clusters I am posting here avoid the use of path mappers entirely, so they will perform the same functions even if the structure upstream changes.
download both clusters here: